Citation

Chi CF, Lin SZ, Dewi RS. Accid. Anal. Prev. 2014; 72C: 359-369.

Affiliation

Department of Industrial Management, National Taiwan University of Science and Technology, 43 Keelung Road, Section 4, Taipei 106, Taiwan; Department of Industrial Engineering, Sepuluh Nopember Institute of Technology, Kampus ITS Sukolilo Surabaya 60111, Indonesia.

Copyright

(Copyright © 2014, Elsevier Publishing)

DOI

10.1016/j.aap.2014.07.019

PMID

25124170

Abstract

The current study applied a fault tree analysis to represent the causal relationships among events and causes that contributed to fatal falls in the construction industry. Four hundred and eleven work-related fatalities in the Taiwanese construction industry were analyzed in terms of age, gender, experience, falling site, falling height, company size, and the causes for each fatality. Given that most fatal accidents involve multiple events, the current study coded up to a maximum of three causes for each fall fatality. After the Boolean algebra and minimal cut set analyses, accident causes associated with each falling site can be presented as a fault tree to provide an overview of the basic causes, which could trigger fall fatalities in the construction industry. Graphical icons were designed for each falling site along with the associated accident causes to illustrate the fault tree in a graphical manner. A graphical fault tree can improve inter-disciplinary discussion of risk management and the communication of accident causation to first line supervisors.

Language: en